ATEC23 Challenge: Automated prediction of treatment effectiveness in ovarian cancer using histopathological images.

Ovarian cancer, predominantly epithelial ovarian cancer (EOC), is a global health concern due to its high mortality rate. Despite the progress made during the last two decades in the surgery and chemotherapy of ovarian cancer, more than 70% of advanced patients are with recurrent cancer and disease. Bevacizumab is a humanized monoclonal antibody, which blocks VEGF signaling in cancer, inhibits angiogenesis and causes tumor shrinkage, and has been recently approved by the FDA as a monotherapy for advanced ovarian cancer in combination with chemotherapy. Unfortunately, Bevacizumab may also induce harmful adverse effects, such as hypertension, bleeding, arterial thromboembolism, poor wound healing and gastrointestinal perforation. Given the expensive cost and unwanted toxicities, there is an urgent need for predictive methods to identify who could benefit from bevacizumab. Of the 18 (approved) requests from 5 countries, 6 teams using 284 whole section WSIs for training to develop fully automated systems submitted their predictions on a test set of 180 tissue core images, with the corresponding ground truth labels kept private. This paper summarizes the 5 qualified methods successfully submitted to the international challenge of automated prediction of treatment effectiveness in ovarian cancer using the histopathologic images (ATEC23) held at the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) in 2023 and evaluates the methods in comparison with 5 state of the art deep learning approaches. This study further assesses the effectiveness of the presented prediction models as indicators for patient selection utilizing both Cox proportional hazards analysis and Kaplan-Meier survival analysis. A robust and cost-effective deep learning pipeline for digital histopathology tasks has become a necessity within the context of the medical community. This challenge highlights the limitations of current MIL methods, particularly within the context of prognosis-based classification tasks, and the importance of DCNNs like inception that has nonlinear convolutional modules at various resolutions to facilitate processing the data in multiple resolutions, which is a key feature required for pathology related prediction tasks. This further suggests the use of feature reuse at various scales to improve models for future research directions. In particular, this paper releases the labels of the testing set and provides applications for future research directions in precision oncology to predict ovarian cancer treatment effectiveness and facilitate patient selection via histopathological images.

Meta-analysis of cardiac magnetic resonance in prognosticating left ventricular function in peripartum cardiomyopathy.

AIMS: Peripartum cardiomyopathy (PPCM) may result in a number of detrimental adverse cardiovascular events, notably persistent left ventricular ejection fraction (LVEF) reduction or even mortality. Imaging parameters on cardiac magnetic resonance (CMR) and their prognostic implications have rarely been perused in PPCM. We aimed to describe CMR's prognostic value in predicting poor left ventricular (LV) function recovery using late gadolinium enhancement (LGE) and T2-weighted or T2 mapping. METHODS AND RESULTS: PubMed, Europe PMC, and ScienceDirect were screened for studies on late gadolinium enhancement (LGE) and myocardial oedema using CMR and PPCM. The outcome of interest was poor LV function recovery, with a follow-up period of at least 6 months. Comparisons between groups with the presence of LGE, myocardial oedema, and recovered against non-recovered patients were pooled. A random-effects model was employed to calculate the effect size. All pooled results were expressed as risk ratios (RRs) and 95% confidence intervals (CI). The area under the curve (AUC) was generated to test overall prognostic accuracy. Six cohort studies with 162 patients were included. The mean age of participants in this study was 30.6 years, and the majority of patients were diagnosed with PPCM after delivery. LGE was associated with a higher risk of poor LV function recovery, particularly when conducted at a later stage of disease (≥2.8 months) [RR = 2.83 (95% CI = 1.25-6.40); P = 0.001]. On the contrary, CMR conducted early (<2.8 months) exhibited a greater predictive value for myocardial oedema perceived by T2 mapping [RR = 3.44 (95% CI = 1.04-11.34); P = 0.043]. Diagnostic-test accuracy meta-analysis revealed that LGE had a sensitivity of 73% (95% CI, 56-85%), specificity of 79% (95% CI, 45-95%), and AUC of 0.78 (95% CI, 0.75-0.82) in predicting poor LV recovery when performed in the later phase, whereas significant myocardial oedema in those with non-recovered LV function had a sensitivity of 12% (95% CI, 2-52%), specificity of 68% (95% CI, 39-88%), and AUC of 0.40 (95% CI, 0.36-0.44) while undertaken in the latter phase. Our findings support the notion that inflammation plays a significant role in PPCM and that alterations to tissue composition occur in a time-dependent manner. CONCLUSIONS: Contrast-enhanced CMR can be utilized as an adjunct examination in post-partum PPCM patients to stratify the risk of poor LV function recovery while conducted at a suitable point in time.

Biotransformation of Sumatriptan by Staphylococcus aureus, Bacillus subtilis, Pseudomonas aeruginosa and Salmonella enterica subsp. enterica.

This study aimed at the biotransformation of sumatriptan by Staphylococcus aureus, Bacillus subtilis, Pseudomonas aeruginosa and Salmonella enterica subsp. enterica and the identification of the drug metabolites by liquid chromatography-mass spectrometry. The drug was incubated with the organisms in tryptic soya broth at 37 °C. The broth was filtered and subjected to liquid chromatography-mass spectrometry. The metabolites identified by the use of mass spectral (+ve ion mode) fragmentation patterns were (3-methylphenyl)methanethiol (Bacillus subtilis), 1-(4-amino-3-ethylphenyl)-N-methylmethanesulfonamide (Salmonella enterica subsp. enterica) and 1-{4-amino-3-[(1E)-3-(dimethylamino)prop-1-en-1-yl]phenyl}methanesulfinamide (Salmonella enterica subsp. enterica, Bacillus subtilis, Pseudomonas aeruginosa, Staphylococcus aureus). These metabolites exhibit high gastrointestinal absorption, no blood-brain barrier permeability (except (3-methylphenyl)methanethiol), a bioavailability score of 0.55 and no inhibitory effect on CYP2C19, CYP2C9, CYP2D6, CYP3A4 or cytochrome P450 1A2 (except (3-methylphenyl)methanethiol), as determined by SwissADME software ver. 2024. The metabolites appear to be more toxic than the parent drug, as suggested by their calculated median lethal dose values. All four organisms under investigation transformed sumatriptan to different chemical substances that were more toxic than the parent drug.

Meta-analysis of Pulsed Field Ablation Versus Thermal Ablation for Pulmonary Vein Isolation in AF: A Broad Overview Focusing on Efficacy, Safety and Outcomes.

The recently established non-thermal, single-shot pulsed field ablation (PFA) is a potential tool for achieving rapid pulmonary vein isolation (PVI) to cause cell death by electroporation, yet data regarding this state-of-the-art technology remain sparse. In this meta-analysis, we included 3,857 patients from 20 studies. There was no significant difference in AF recurrence between the PFA and control groups. Subgroup analysis showed that additional ablation beyond PVI has a similar rate of AF recurrence to PVI alone (10% versus 13%, respectively). PVI durability was achieved in 83% (mean), 95% CI [65-99%] of the PFA group and in 79% (mean), 95% CI [60-98%] of the control group, with no significant difference in the rate of PVI durability between the two groups. The PFA group had considerably reduced procedure duration, but not fluoroscopy time. No statistically significant differences in periprocedural complications were observed. PFA is associated with shorter procedural time than thermal ablation. Cardiac complications were uncommon and mainly reversible in both the PFA and control groups.

Relationship of adhesion molecules (ICAM-1 and E-selectin) with ABO blood groups in patients hospitalized with acute myocardial infarction.

Objectives: Adhesion molecules, sICAM-1 and sE-selectin appear to have a major role in the pathogenesis of coronary artery disease (CAD). The focus of this study was to investigate the relationship of sICAM-1 and sE-selectin with ABO blood groups in Pakistani patients hospitalized with acute myocardial infarction (AMI). Methods: In a case-control study, 116 patients of acute myocardial infarction (AMI) and 116 healthy controls (age range for both: 30 years to 70 years; both males and females) were randomly selected from the Aga Khan University and National Institute of Cardiovascular Diseases, Karachi with informed consent. The blood samples were obtained and analyzed for ABO blood groups and serum levels of sICAM-1 and sE-selectin using kit methods. Statistical tests including independent sample t-test and Two-way ANOVA were used to study the association of these adhesion molecules with blood groups in AMI patients and healthy controls. Duration of the study was from July 2021 to June 30, 2023. Results: Mean serum levels of sICAM-1 were significantly higher in AMI patients compared to healthy controls (342±159 mg/dl vs. 227±104 mg/dl; p-value<0.001). Similarly, serum levels of sE-selectin were also significantly higher in AMI patients compared to healthy controls (53.6±26.9 mg/dl vs. 40.7± mg/dl; p-value<0.001). Moreover, mean concentrations of sICAM-1 and sE-selectin for the interaction between subject type (cases and control) and blood groups were statistically significant (p-value = 0.007 and p-value = 0.035, respectively). Conclusion: There is an association of adhesion molecules, sICAM-1 and sE-selectin with ABO blood groups in Pakistani patients hospitalized with AMI.

Protocol for performing metabolic pathway-based subtyping of breast tumors.

Here, we present a protocol for analyzing the global metabolic landscape in breast tumors for the purpose of metabolism-based patient stratification. We describe steps for analyzing 1,454 metabolic genes representing 90 metabolic pathways and subjecting them to an algorithm that calculates the deregulation score of 90 pathways in each tumor sample, thus converting gene-level information into pathway-level information. We then detail procedures for performing clustering analysis to identify metabolic subtypes and using machine learning to develop a signature representing each subtype. For complete details on the use and execution of this protocol, please refer to Iqbal et al.1.

Feline lung-digit syndrome: A differential diagnosis for shifting, waxing and waning lameness in a cat.

The clinical presentation, cytologic findings, radiographic findings, and postmortem assessment of a cat with primary pulmonary adenocarcinoma with multiple digital metastasis are described. An unusual shifting, waxing and waning pattern of lameness, suspected to be an early manifestation of digital metastasis before any gross lesions were visible, was documented. Initial cytologic finding of a lung nodule was equivocal for diagnosis of neoplasia despite being strongly suspicious. Palliative management was short-lived, with rapid progression culminating in widespread metastasis to multiple digits, muscles, and other organs. The diagnosis of pulmonary adenocarcinoma was confirmed via necropsy and histopathology. Key clinical message: This case report highlights that feline lung-digit syndrome is an important differential diagnosis for an acute, waxing and waning, shifting leg lameness in an older cat. This pattern of lameness should raise the index of suspicion for an underlying primary lung neoplasm, and thoracic imaging (radiographs) should be considered.

Syndrome pulmonaire-digital félin : un diagnostic différentiel des boiteries changeantes, croissantes et décroissantes chez un chatLa présentation clinique, les résultats cytologiques, les résultats radiographiques et l'évaluation post mortem d'un chat atteint d'adénocarcinome pulmonaire primaire avec métastases numériques multiples sont décrits. Un schéma inhabituel de boiterie, variable, croissante et décroissante, suspecté d'être une manifestation précoce de métastases digitales avant que des lésions macroscopiques ne soient visibles, a été documenté. La découverte cytologique initiale d'un nodule pulmonaire était équivoque pour le diagnostic de néoplasie bien qu'elle soit fortement suspecte. La prise en charge palliative a été de courte durée, avec une progression rapide aboutissant à des métastases généralisées à plusieurs doigts, muscles et autres organes. Le diagnostic d'adénocarcinome pulmonaire a été confirmé par autopsie et histopathologie.Message clinique clé :Ce rapport de cas souligne que le syndrome pulmonaire-digital félin est un diagnostic différentiel important pour une boiterie aiguë, croissante et décroissante et mobile des pattes chez un chat ágé. Ce type de boiterie devrait faire suspecter une tumeur primaire du poumon sous-jacente, et une imagerie thoracique (radiographies) devrait être envisagée.(Traduit par Dr Serge Messier).

Nanoparticle-Based Rice Husk Liquid Smoke as Periodontitis Therapy through OPG, RANK, and RANKL Expression.

Introduction: Periodontitis therapy employing nanomaterials with submicron sizes holds promise for enhancing osteogenesis and facilitating periodontal cell proliferation. This study aims to assess the potential of nanoparticle-based rice husk liquid smoke (n-RHLS) in an animal model of periodontitis by evaluating the expression of osteoprotegerin (OPG), receptor activator of nuclear factor-kß (RANK), and receptor activator of nuclear factor-kß ligand (RANKL). Methods: Twenty-eight male Wistar rats were inoculated with 109 CFU/ml of Porphyromonas gingivalis in the sulcus mandibular incisor region to create periodontitis and subsequently treated with n-RHLS while the control with saline. Immunohistochemical staining was performed on the mandibular incisor to assess OPG, RANK, and RANKL expression 2 and 7 days after treatment. Results: OPG expression exhibited a significant increase at both 2 and 7 days, while RANKL expression decreased notably after 7 days of treatment using n-RHLS (p < 0.05). In contrast, RANK expression did not show significant differences compared to the control groups (p > 0.05). Conclusion: Nanostructured liquid smoke derived from rice husk nanoparticles (n-RHLS) demonstrates potential as a therapeutic agent for periodontitis, especially on OPG/RANK/RANKL expression, by modulating OPG and RANKL expression to support periodontal tissue health.

Torus fractures - diagnosis and management.

Torus fractures are a common paediatric injury involving the distal radius. Patients typically present following a fall onto the outstretched hand, with wrist pain as their primary complaint. The principal investigation of choice is a plain radiograph of the wrist joint. These fractures should be managed with a soft-bandage and immediate discharge approach and do not require specialist follow-up. Clinicians have historically had differing views regarding optimal management of torus fractures. It is therefore important for hospital clinicians to uniformly understand the most up-to-date management of this condition. This review provides an overview of the epidemiology, anatomy, diagnosis and management, with an aim to improve outcomes.

Air Pollution: Challenges to Human Health in Pakistan.

Null.

A nanoformulation of cisplatin with arabinoxylan having enhanced activity against hepatocellular carcinoma through upregulation of apoptotic and necroptotic pathways.

Cisplatin is a versatile drug used to treat various types of cancer, but it is associated with high toxicity and resistance problems. Several approaches, including nanotechnology, have been adopted to minimize the toxic effects and to overcome the resistance of cisplatin. Most of the nanoformulations involve the use of synthetic or semisynthetic polymers as drug carriers. In this study arabinoxylan nanoparticles have been investigated as drug reservoirs for intestinal drug delivery. The drug-loaded arabinoxylan nanoparticles (size: ∼1.8 nm, polydispersity index: 0.3 ± 0.04) were prepared and nanoformulation was characterized by various analytical techniques. The nanoformulation was found to be stable (zeta potential: 31.6 ± 1.1 mV). An in vitro cytotoxicity against HepG2 and HEK 293 cell lines was studied. The cell viability analysis showed greater efficacy than the standard cisplatin (IC50: cisplatin 2.4, arabinoxylan nanoformulation 1.3 µg mL-1). The expression profile of carcinogenic markers revealed a six-fold upregulation of MLKL and 0.9-fold down regulation of KRAS, suggesting the activation of the necroptotic pathway by the drug-loaded nanoparticles. The nanoformulation exhibited a sustained release of cisplatin with a cumulative release of ∼40 % (at pH 7.4) and ∼30 % (at pH 5.5) over a period of 12 h with very low initial burst. The study suggests that the use of the new nanoformulation can significantly reduce the required dose of cisplatin without compromising efficacy and more efficient release at basic pH.

Medicinal plants of Southeast Asia with anti-α-glucosidase activity as potential source for type-2 diabetes mellitus treatment.

ETHNOPHARMACOLOGICAL RELEVANCE: Diabetes mellitus, a widespread chronic illness, affects millions worldwide, and its incidence is increasing alarmingly, especially in developing nations. Current pharmacological treatments can be costly and have undesirable side effects. To address this, medicinal plants with antidiabetic effects, particularly targeting α-glucosidase for controlling hyperglycaemia in type-2 diabetes mellitus (T2DM), hold promise for drug development with reduced toxicity and adverse reactions. AIM OF THIS REVIEW: This review aims to succinctly collect information about medicinal plant extracts that exhibit antidiabetic potential through α-glucosidase inhibition using acarbose as a standard reference in Southeast Asia. The characteristics of this inhibition are based on in vitro studies. MATERIALS AND METHODS: Relevant information on medicinal plants in Southeast Asia, along with α-glucosidase inhibition studies using acarbose as a positive control, was gathered from various scientific databases, including Scopus, PubMed, Web of Science, and Google Scholar. RESULTS: About 49 papers were found from specific counties in Southeast Asia demonstrated notable α-glucosidase inhibitory potential of their medicinal plants, with several plant extracts showcasing activity comparable to or surpassing that of acarbose. Notably, 19 active constituents were identified for their α-glucosidase inhibitory effects. CONCLUSIONS: The findings underscore the antidiabetic potential of the tested medicinal plant extracts, indicating their promise as alternative treatments for T2DM. This review can aid in the development of potent therapeutic medicines with increased effectiveness and safety for the treatment of T2DM.

Industrially Scalable Textile Sensing Interfaces for Extended Artificial Tactile and Human Motion Monitoring without Compromising Comfort.

Smart wearables with the capability for continuous monitoring, perceiving, and understanding human tactile and motion signals, while ensuring comfort, are highly sought after for intelligent healthcare and smart life systems. However, concurrently achieving high-performance tactile sensing, long-lasting wearing comfort, and industrialized fabrication by a low-cost strategy remains a great challenge. This is primarily due to critical research gaps in novel textile structure design for seamless integration with sensing elements. Here, an all-in-one biaxial insertion knit architecture is reported to topologically integrate sensing units within double-knit loops for the fabrication of a large-scale tactile sensing textile by using low-cost industrial manufacturing routes. High sensitivity, stability, and low hysteresis of arrayed sensing units are achieved through engineering of fractal structures of hierarchically patterned piezoresistive yarns via blistering and twisting processing. The as-prepared tactile sensing textiles show desirable sensing performance and robust mechanical property, while ensuring excellent conformability, tailorability, breathability (288 mm s-1), and moisture permeability (3591 g m-2 per day) for minimizing the effect on wearing comfort. The multifunctional applications of tactile sensing textiles are demonstrated in continuously monitoring human motions, tactile interactions with the environment, and recognizing biometric gait. Moreover, we also demonstrate that machine learning-assisted sensing textiles can accurately predict body postures, which holds great promise in advancing the development of personalized healthcare robotics, prosthetics, and intelligent interaction devices.

Analysis of Correlation Between LncRNA TDRG1 Expression and its Prognosis in Cervical Carcinoma Tissues.

To explore and analyze the correlation between LncRNA TDRG1 expression degree and the prognosis of cervical carcinoma tissues. The cervical cancer tissues and para-carcinoma tissues of 106 patients with cervical carcinoma surgically removed in our hospital were chosen as specimens. LncRNA TDRG1 expression in cervical carcinoma tissues and para-carcinoma tissues was inspected by real-time fluorescence quantitative PCR, and the correlation between LncRNA TDRG1 and the clinicopathological parameters and disease prognosis was analyzed. The relative expression of LncRNA TDRG1 in cervical carcinoma tissues was critically gone up (P < 0.05) compared to para-carcinoma tissues. The relative expression of LncRNA TDRG1 in cervical carcinoma was correlated with FIGO staging, lymph node metastasis, infiltrating depth of cervical basal, and the differentiation of cancer cells (P < 0.05). According to the results of the Kaplan-Meier curve and Log-rank test, the overall survival conditions of subjects with low-lncRNA TDRG1 were superior to that of those with high-lncRNA TDRG1 expression (P < 0.05). The expression of LncRNA TDRG1 in cervical carcinoma tissues and the clinicopathological features in predicting the overall survival (OS) in sufferers with cervical carcinoma were investigated by the Cox regression model. LncRNA TDRG1 expression in cervical carcinoma tissues is tightly associated with the progression and prognosis of cervical carcinoma, which may be a latent biological indicator for clinical diagnosis and prognosis of cervical carcinoma.

The pivotal role of compelling high-risk electrocardiographic markers in prediction of ventricular arrhythmic risk in arrhythmogenic right ventricular cardiomyopathy: A systematic review and meta-analysis.

INTRODUCTION: Several investigations have shown that existing risk stratification processes remain insufficient for stratifying sudden cardiac death risk in arrhythmogenic right ventricular cardiomyopathy (ARVC). Multiple auxiliary parameters are investigated to offer a more precise prognostic model. Our aim was to assess the association between several ECG markers (epsilon waves, prolonged terminal activation duration (TAD) of QRS, fragmented QRS (fQRS), late potentials on signal-averaged electrocardiogram (SA-ECG), T-wave inversion (TWI) in right precordial leads, and extension of TWI in inferior leads) with the risk of developing poor outcomes in ARVC. METHODS: A systematic literature search from several databases was conducted until September 9th, 2023. Studies were eligible if it investigated the relationship between the ECG markers with the risk of developing ventricular arrhythmic events. RESULTS: This meta-analysis encompassed 25 studies with a total of 3767 participants. Our study disclosed that epsilon waves, prolonged TAD of QRS, fQRS, late potentials on SA-ECG, TWI in right precordial leads, and extension of TWI in inferior leads were associated with the incremental risk of ventricular arrhythmias, implantable cardioverter-defibrillator shock, and sudden cardiac death, with the risk ratios ranging from 1.46 to 2.11. In addition, diagnostic test accuracy meta-analysis stipulated that the extension of TWI in inferior leads had the uppermost overall area under curve (AUC) value amidst other ECG markers apropos of our outcomes of interest. CONCLUSION: A multivariable risk assessment strategy based on the previously stated ECG markers potentially enhances the current risk stratification models in ARVC patients, especially extension of TWI in inferior leads.

Does maternal health voucher scheme have association with distance inequality in maternal and newborn care utilization? Evidence from rural Bangladesh.

BACKGROUND: Bangladesh has made substantial progress in maternal health. However, persistent inequities in service use undermine the achievements at the national level. In 2007, the government introduced a Maternal Health Voucher Scheme (MHVS) to reduce barriers to service utilization. The current study explores the impact of MHVS on reducing distance inequality in utilization across the maternal and newborn continuum of care (MNCoC). METHODS: A cross-sectional survey was conducted from October'2017 to April'2018 in four selected MHVS sub-districts of Chattogram and Sylhet Divisions of Bangladesh. 2,400 women with at-least one child aged below two years were randomly selected. Both bivariate and multivariate analyses were carried out to explore the absolute and relative influence of the voucher scheme and chi-square test was used for hypothesis testing. RESULTS: Nineteen percent of the women were MHVS beneficiaries and 23% of them lived within 5 km of the health facility. Among the beneficiaries no significant differences were observed in the utilization of at-least 4 antenatal visits, skilled-assistance at delivery, postnatal care, and MNCoC between those living closer to the health facility and those living far away. However, a higher facility delivery rate was observed among beneficiary women living closer. By contrast, for non-beneficiaries, a significant difference was found in service use between women living closer to health facilities compared to those living further away. CONCLUSION: The study found the use of MNCoC to be similar for all MHVS beneficiaries irrespective of their distance to health facilities whereas non-beneficiary women living further away had lower utilization rates. MHVS could have potentially reduced distance-related inequality for its beneficiaries. However, despite the provision of transport incentives under MHVS the reduction in inequality in facility delivery was limited. We propose a revision of the transportation incentive adjusting for distance, geographical remoteness, road condition, and transport cost to enhance the impact of MHVS.

Cardiology residents' attitudes towards clinical supervision: a multi-centered study.

PURPOSE: Residents' gender, residency level, and hospital types might influence their attitudes towards clinical supervision (CS); however, reports of its impact on cardiology residency are nonexistent. We explore the effect of gender, residency level, and hospital location's effect on Indonesian cardiology trainees' attitudes towards CS. METHODS: A multi-centered, cross-sectional study was conducted. We invited 490 Indonesian cardiology residents in September- October 2019 to complete the Cardiology CS Scale. Residents' attitudes, gender, university, and residency year were expressed using descriptive statistics. A Mann-Whitney test analyzed the gender and university location effect on residents' attitudes. Training year and university's impact were subjected to the Kruskal-Wallis test; a p-value of <0.05 reflected a significant result. RESULTS: A total of 388 residents agreed to participate (response rate=79.18%). Most of them were male (n=229 [59,02%]), attended universities in Java Island (n=262 [67,52%]), and were in their 2nd-3rd year of training (n=95 [24.48%], each). There were no significant differences in residents' attitudes between genders (U [Nmale=229, Nfemale=159]=17,908.50, z=-0.27, p=0.78). Generally, their attitudes were significantly affected by the university (H(7)=47.38, p<0.01). However, the university location (located in Java Island or outside Java Island) does not affect residents' attitude towards CS (U [NJava=262, Nnon-Java=126]=15,237.00, z=-1.23, p=0.22). In addition, the residents' training year also affected the residents' response (H(2)=14.278, p<0.01). CONCLUSION: Cardiology residents' attitudes towards CS are significantly influenced by training year and university but not gender or university location. The results might provide insightful information for further improvement of CS in cardiology training and guide further evaluation.

Mature teratoma of liver in an adult male patient.

Teratomas are germ cell tumors occurring usually in gonadal organs. They are neoplasms composed of one or more of the three germ layers. Extragonadal teratomas are uncommonly reported in the literature. The liver is an extremely rare site for teratoma, constituting < 1% of all teratomas. The majority of the liver teratomas are found in the pediatric population with only a dozen cases reported in adults to the best of our knowledge. We present a case of a 27-year-old male with a history of abdominal pain of 5 months duration. CT scan revealed liver mass suggesting teratoma. The patient underwent cholecystectomy and segmental liver resection. Histopathology revealed mature cystic teratoma. Complete resection remains the best treatment option. Teratomas of the liver are extremely rare, constituting < 1% of all teratomas. An extensive review of the literature yielded < 50 cases of primary hepatic teratomas with only a dozen cases in adults and only two cases in males.

Examining the Association Between Serotonergic Antidepressants and Blood Transfusion Requirements in Orthopaedic Surgery: A Comprehensive Analysis.

AIM: The study aimed to investigate the association between the use of serotonergic antidepressants and blood transfusion requirements in orthopedic surgical patients. METHODOLOGY: A retrospective follow-up study was conducted at Kota Trauma Hospital, Kota, Rajasthan focusing on patients who underwent orthopedic surgeries between November 2021 through December 2022. Patients were categorized into two groups: users of serotonergic antidepressants and users of other antidepressants (non-selective serotonergic antidepressants). The requirement for blood transfusion for both groups was assessed. Covariate factors, such as medication use and comorbidities (e.g., diabetes mellitus, cardiovascular diseases), were examined to control potential confounding variables. RESULT: A total of 170 subjects with complete medical records were included in the study. The results presented a significant association between the usage of serotonergic antidepressants and blood transfusion requirements (p=0.001). While no significant differences between the two groups were observed in perioperative hemoglobin levels and fluid infusion, there was a significant difference in blood loss and postoperative drainage. CONCLUSION: Serotonergic antidepressant usage was correlated with increased blood transfusion requirements in orthopedic surgery patients on antidepressants. The study underscores the importance of considering medication factors in perioperative management and highlights potential implications for patient care strategies.

Metabolic stratification of human breast tumors reveal subtypes of clinical and therapeutic relevance.

Extensive metabolic heterogeneity in breast cancers has limited the deployment of metabolic therapies. To enable patient stratification, we studied the metabolic landscape in breast cancers (∼3000 patients combined) and identified three subtypes with increasing degrees of metabolic deregulation. Subtype M1 was found to be dependent on bile-acid biosynthesis, whereas M2 showed reliance on methionine pathway, and M3 engaged fatty-acid, nucleotide, and glucose metabolism. The extent of metabolic alterations correlated strongly with tumor aggressiveness and patient outcome. This pattern was reproducible in independent datasets and using in vivo tumor metabolite data. Using machine-learning, we identified robust and generalizable signatures of metabolic subtypes in tumors and cell lines. Experimental inhibition of metabolic pathways in cell lines representing metabolic subtypes revealed subtype-specific sensitivity, therapeutically relevant drugs, and promising combination therapies. Taken together, metabolic stratification of breast cancers can thus aid in predicting patient outcome and designing precision therapies.